Papers
14
Total Citations
244
H-Index
8
About
Enhao Zheng is a pioneering researcher at the intersection of wearable robotics, human-machine interfaces, and intelligent sensing systems. His work spans robotic prosthetics, lower-limb exoskeletons, and human-robot collaboration, with a particular focus on developing novel sensing technologies that enable seamless, intent-driven control of assistive devices. Zheng's most influential contribution — cited over 85 times — introduced noncontact capacitive sensing for locomotion transition recognition in robotic transtibial prostheses, significantly advancing amputee safety and mobility. Building on this foundation, he extended capacitive sensing principles to hip exoskeletons and developed adaptive recognition strategies that remain robust across multiple sessions and days of use — a critical step toward real-world clinical deployment. A hallmark of Zheng's research is his innovative application of Electrical Impedance Tomography (EIT) to human-robot interfaces, enabling precise wrist motion decoding, musculoskeletal modeling, and collaborative robot control. His more recent work on hierarchical motion intention prediction and dual-mode wearable sensing systems reflects a broadening vision toward comprehensive, intelligent human-robot collaboration frameworks. With over 235 cumulative citations and contributions spanning prosthetics, exoskeletons, and collaborative robotics, Zheng's research offers transformative tools for restoring and augmenting human motor function through smarter, more adaptive wearable technologies.
Research Focus
Key Achievements
Top Papers
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- 2Controlling a Robotic Hip Exoskeleton With Noncontact Capacitive Sensors37 citations · 2019
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